Jurnal Inotera

Spatial Autocorrelation Analysis of Nutrition Personnel as a Basis for Environmental Health Management in East Java

2026-01-02T07:01:03+00:00

Nutrition professionals are essential for delivering effective nutrition interventions, yet their distribution is often uneven across regions. In East Java Province, Indonesia, evidence on the spatial structure of the nutrition workforce remains limited. This study aims to examine the spatial distribution of nutrition personnel across districts and municipalities in East Java, to (1) assess the presence of global spatial autocorrelation and (2) identify local clusters of relative surplus and deficit. A cross-sectional ecological design was applied using data on the number of nutrition workers in 38 districts/municipalities. Each unit was georeferenced using centroid coordinates. A K-Nearest Neighbors (KNN) spatial weights matrix was constructed based on geographic proximity and row-standardized. Global spatial autocorrelation was evaluated using Moran’s I with permutation tests, while Local Indicators of Spatial Autocorrelation (LISA) were used to detect significant local clusters and spatial outliers. Results were visualized through Moran scatterplots and LISA significance and cluster maps generated in R. Moran’s I indicated weak and statistically non-dominant global spatial autocorrelation, suggesting an absence of strong province-wide clustering. However, LISA revealed distinct local patterns. High–high clusters of nutrition personnel were concentrated in the metropolitan core, particularly around Surabaya, Sidoarjo, and Gresik, whereas several southern, western, and peripheral districts formed low–low clusters, indicating contiguous areas of relative deficit. Isolated high–low and low–high outliers were also identified. The distribution of nutrition personnel in East Java is characterized by modest global dependence but marked local inequalities. Integrating spatial analysis into human-resources-for-health planning can support more targeted and equitable allocation of nutrition workers, especially towards identified low–low clusters and spatial outlier districts.

Design and Implementation of a Cryptography Key Management System API Using SoftHSM and PKCS#11

2026-01-06T02:29:21+00:00

This paper presents the design and implementation of a Cryptography Key Management System (KMS) API that leverages SoftHSM as secure key storage and the PKCS#11 (Cryptoki) standard as the cryptographic interface. Motivated by the need to protect sensitive organizational data and to comply with regulations, the system centralizes key lifecycle operations—generation, storage, use for AES-based encryption/decryption, and key destruction—so that key materials never leave the HSM. The study follows a waterfall-style development process comprising requirements analysis, system design, implementation, testing, and evaluation. Results show the API correctly performs cryptographic operations with keys resident in the HSM and supports basic auditing of operations. The approach demonstrates a practical, low-cost alternative to physical HSMs for small-to-medium environments while aligning with information security management practices.

Mineral Identification of Iron Ore Deposits in Menggamat, South Aceh through Mineralogical Analysis

2026-01-09T03:41:27+00:00

Iron ore mineralization in the Menggamat area, Kluet Tengah District, South Aceh Regency, has been exploited by local communities; however, detailed mineralogical studies remain limited. This study aims to identify the main ore minerals, associated minerals, microscopic textures, and paragenetic sequence of iron ore deposits using an integrated mineralogical approach. Field investigations were conducted in Simpang Dua and Simpang Tiga villages, where 31 rock samples were collected through channel sampling, chip sampling, and grab sampling methods. Macroscopic observations were followed by petrographic and mineragraphic analyses using reflected and transmitted light microscopy. The results indicate that magnetite and hematite are the dominant iron ore minerals, accompanied by sulfide minerals such as pyrite and chalcopyrite. Gangue and alteration minerals include quartz, garnet, and carbonate minerals. Mineragraphic observations reveal abundant replacement, crosscutting, intergrowth, and inclusion textures, indicating a multistage mineralization process. Magnetite represents the earliest mineral phase, subsequently replaced by hematite through oxidative alteration, followed by metasomatic replacement by garnet and late-stage quartz veining. These mineralogical characteristics and textural relationships suggest that the iron ore deposits in the study area are genetically related to skarn-type mineralization associated with hydrothermal and metasomatic processes. The results provide essential baseline data for sustainable mineral resource management and preliminary environmental assessment in South Aceh.

Analysis and Design of Android-Based Guestbook Management Applications

2026-01-27T08:13:33+00:00

In increasing security in residential areas it is not enough to improve security standards regarding incoming and outgoing guests, housing managers need to optimize the use of digitalization in standardizing security systems, one of which is by designing applications that can control incoming and outgoing guests, in order to prevent the occurrence of crime in cluster-type housing. This will be applied to the central and cluster mallorca phuket housing located in the Parung Panjang area, where in the process security monitoring can be carried out in real time from the cellphone by the manager. The application made is an android-based application that inputs incoming or outgoing guest data and take photos of the guest when entering and leaving. The database used is a spreadsheet, so that it is easy to read or make reports directly by most people if they want to directly access the database without the need for special skills such as SQL and so on. Application design uses codular which is open source and can make applications faster because it reduces the program coding process.

Integrating Internet of Things Technology to Enhance Highland Vegetable Productivity : A Systemic Review with Empirical Evidence from Aceh Tengah, Indonesia

2026-02-23T07:45:33+00:00

Global food security challenges necessitate transformative approaches to enhance agricultural productivity, particularly in highland regions facing multiple production constraints. This systematic literature review examines the potential of Internet of Things (IoT) technology integration to enhance productivity of highland vegetables (potato, cabbage, and carrot) in Aceh Tengah District, Indonesia. A critical agricultural region at 1,000-2,600 m.a.s.l. Following PRISMA guidelines, we analyzed peer-reviewed publications (2020-2025) on IoT applications in vegetable production, synthesizing evidence from successful implementations across diverse geographical contexts. Empirical evidence demonstrates that precision agriculture systems incorporating soil moisture sensors, nutrient monitoring, weather stations, and disease detection algorithms achieve productivity increases of 10-20% while reducing water consumption by 20-30% and input costs by 13%. However, IoT adoption in Indonesian highland agriculture remains below 5%, constrained by infrastructure limitations, digital literacy gaps, and economic barriers. This review identifies six critical research gaps and proposes a contextualized framework for IoT implementation adapted to smallholder farming systems in highland Indonesia. The framework addresses technological, socioeconomic, and institutional dimensions essential for sustainable digital transformation of highland agriculture. A pilot project framework is proposed targeting productivity enhancement, resource efficiency, and capacity building for sustainable implementation in Aceh Tengah's unique agroecological context

Adaptive Fiscal Policy for Indonesian Coffee: A Reduced State-Space Linear Quadratic Tracking Approach

2026-01-30T07:41:59+00:00

Coffee serves as a strategic commodity for Indonesia's non-oil and gas exports; however, its market dynamics are characterized by high volatility due to global price fluctuations and climate change-induced production uncertainties. Previous research has primarily utilized simultaneous equation models and static optimal control to manage export taxes. A critical limitation of these approaches is their reliance on open-loop strategies, which lack resilience against real-time stochastic disturbances. This study bridges the gap between econometrics and modern control theory by transforming the structural econometric model of the Indonesian coffee market into a reduced state-space form. We propose a Finite-Horizon Linear Quadratic Tracking (LQT) approach to design an adaptive fiscal policy. Unlike static optimization, this method synthesizes a feedback control law that automatically calibrates tax rates in response to market deviations. Simulation results for the 2025–2030 period demonstrate that the LQT-based controller reduces the Sum of Squared Errors (SSE) by 40% compared to traditional open-loop methods and exhibits superior robustness against supply-side shocks. This research provides a novel, robust decision-support tool for policymakers to maintain economic stability under uncertainty.

Caesar Chiper Algorithm In Message Security

2026-03-03T10:17:25+00:00

The Caesar Cipher algorithm is one of the classical cryptography methods used to secure messages with letter substitution techniques based on certain shifts in the alphabet. This study aims to analyze and implement this algorithm in message security in order to understand its effectiveness and limitations in the world of information security. The methods used include encryption and decryption processes with character shifts according to the specified key. Implementation is carried out using the Python programming language as a case study. The results of the study show that Caesar Cipher is effective in providing basic security for messages, but has significant weaknesses against brute force attacks because it only has 25 possible keys. Therefore, this algorithm is more suitable for use as a basis for learning in the field of cryptography or combined with other security methods to increase its level of security.

The Effectiveness of Vibrating Screen on the Composition of Feeds at PT KSP AGRO

2026-02-25T05:38:10+00:00

Vibrating screen is a filter unit that plays an important role in clarification stations because it functions to separate coarse impurities from crude oil so that the quality of the oil is improved and the oil loss can be minimized. The data used in this study is in the form of bait composition consisting of oil, water, and NOS in several observation periods. The data was then evaluated to determine the relationship between the variation in the composition of the feed and the effectiveness of the resulting filtering. The results of the study show that the effectiveness of vibrating screen tend to fluctuate in each observation period. Effectiveness increases when the oil content in the feed is higher, as the oil is more easily separated from impurities.

Design and Implementation of a Mobile-Based Islamic Book Study Information System Using API Architecture and Flutter Framework at Dayah Aqil Al-Farisi

2026-02-25T06:19:44+00:00

The development of mobile-based Islamic learning applications has become a solution to support independent study at Dayah Aqil Al-Farisi, especially for santri and community members who are often unable to attend in-person study sessions due to daily activities. This application, built using the Flutter framework and Laravel as the backend, provides digital access to classical Islamic texts (kitab), prayers, Islamic jurisprudence (Fiqh), and the biography of the Prophet Muhammad SAW. The system utilizes an API architecture to enable seamless communication between the mobile app and the server, allowing users to access study materials anytime and anywhere via smartphones. The design and implementation process include requirement analysis, system modeling with Data Flow Diagrams (DFD), UI/UX design, and integration with a MySQL database. The application also features an admin panel for managing content such as kitab, news, prayers, and Fiqh materials. The result is a user-friendly platform that facilitates self-paced learning and helps preserve traditional Islamic education in a modern digital format. This study concludes that the mobile application effectively addresses attendance issues and enhances accessibility to Islamic teachings.

Protein Content and Glycemic Index of Snack Bars from Pigeon Pea and Yellow Sweet Potato

2026-03-04T07:34:59+00:00

This study investigates the potential of Indonesia’s indigenous crops, pigeon pea and yellow sweet potato, for the development of nutritious snack bars with desirable protein content and glycemic index (GI). Eleven formulations with varying ratios of pigeon pea and yellow sweet potato (0%:100% to 100%:0%) were produced and analyzed for protein content using AOAC methods and for GI using glucose as the reference standard. Data were evaluated using one-way ANOVA followed by DMRT at a 5% significance level. Protein content ranged from 3.05 ± 0.01% to 13.64 ± 0.19%, while GI values spanned from 14.00 ± 0.65 to 76.00 ± 0.14. Increasing the proportion of pigeon pea resulted in a concurrent rise in both protein content and GI, indicating a strong positive correlation between these parameters and highlighting the challenge of formulating high-protein, low-GI snack bars from these ingredients. The findings indicate that thermal processing may enhance starch digestibility, thereby contributing to elevated GI in formulations with high pigeon pea content. A key limitation of this study is the absence of detailed analysis of processing-related factors such as heating intensity, matrix modification, and starch gelatinization that may influence glycemic response. Further investigation is required to elucidate these mechanisms.

Performance Identification of Eutectic Fatty Acid-PLA Based Phase Change Material Board Installed in a Mini-Cubicle System

2026-03-03T11:09:33+00:00

Thermal comfort regulation in buildings located in hot climates, such as Indonesia, remains highly dependent on air conditioning (AC) systems, leading to substantial energy consumption. Integrating Phase Change Materials (PCM) into building envelopes offers a passive thermal management strategy to reduce cooling loads. This study investigates the thermal performance of a gypsum-based wall incorporating a eutectic fatty acid PCM (laurate–stearate) of 85:15 (wt%) modified with polylactic acid (PLA) at three PCM:PLA ratios (1:0.6, 1:0.8, and 1:1), alongside a control sample without PCM. Samples were fabricated at laboratory scale and evaluated using a mini-cubicle system under controlled charging and discharging conditions. Energy performance was assessed through temperature change rates and heat transfer (q) analysis at three measurement points (T1, T2, T3). Results demonstrate that PLA modification significantly enhances PCM performance, with the 1:0.8 ratio (bPCM) exhibiting optimal behavior. During charging, bPCM achieved the lowest temperature change rates of 4.75 °C/h at T1, 1.15 °C/h at T2, and 0.65 °C/h at T3 and the minimum heat transfer from T2 to T3 of 32.049 J. Similarly, during discharging, bPCM maintained the smallest temperature change rates of 2.2 °C/h at T1, 1.0 °C/h at T2, and 0.65 °C/h at T3 with the lowest heat transfer to the indoor zone of 32.033 J. These findings confirm that optimized PLA-modified eutectic PCM significantly improves heat absorption, latent heat storage, and thermal insulation performance compared to non-PCM and non-optimized compositions. The proposed composite wall system demonstrates strong potential for passive cooling enhancement and building energy efficiency improvement in hot-climate regions

Design and Development of an RFID-Based Student Attendance System Using Student ID Cards as Identification Media and Local Mysql Recording

2026-03-04T03:59:53+00:00

This study aims to design and develop an RFID-based attendance system as a solution to the problems of conventional attendance systems, such as time inefficiency, cheating, and data loss. The system uses student ID cards (KTM) as an identification medium, is integrated with the ESP32 microcontroller and RC522 RFID reader, and is connected to a MySQL database through a website. The methodology used is research and development (R&D) with a prototype approach that includes requirement analysis, system design, implementation, and testing. Test results show that the system can read RFID cards accurately within an average time of 0.1 seconds and store attendance data in real time. System validation by experts using Aiken’s V method obtained an index value of 0.982, indicating a very valid system. User testing involving 15 students resulted in an average score of 4.85 out of 5, indicating that the system is very feasible and easy to use. This RFID-based attendance system is expected to improve efficiency and transparency in student attendance management.

Improvement of Songkok Production Process Through Defect Analysis Using Seven Tools and Failure Mode and Effect Analysis (FMEA)

2026-03-07T09:04:34+00:00

Product defects contribute to material waste, delays in delivery, and increased production costs. This study aims to identify the causes of product defects and reduce defect levels in songkok (traditional cap) production at CV PPI using the Seven Tools method and Failure Mode and Effect Analysis (FMEA). Data were collected in August 2025, revealing three main types of defects: untidy stitching (29.47%), inaccurate sizing (32.11%), and velvet surface defects (38.42%). Defect analysis was conducted using Seven Tools, while corrective actions were determined through FMEA by calculating the Risk Priority Number (RPN). The findings show that the highest RPN value was 210 for inaccurate sizing, followed by untidy stitching (RPN 168) and velvet surface defects (RPN 140). Improvement recommendations include stricter supervision during production, periodic evaluation of tools and materials, revision of inadequate Standard Operating Procedures (SOPs), and proper selection of velvet materials that meet quality standards to ensure product consistency and customer satisfaction.

Comparison of Reinforcement Waste of Columns and Beams in the Ditsamapta Building North Sumatra Regional Police Using Conventional Method and COP

2026-03-09T03:32:16+00:00

Material is one of the most important resources in construction projects, contributing 40–60% of the total cost. Reinforcing steel often leaves excess material due to cutting errors, so optimization is needed to minimize waste. This study aims to compare waste calculation using the conventional method and Cutting Optimization Pro (COP) software through a bar bending schedule. The results show that the conventional method produced waste of Ø8 14.102%, Ø10 9.480%, D10 8.385%, D12 10.444%, and D16 9.500%. With COP, the waste decreased to Ø8 2.888%, Ø10 1.855%, D10 8.087%, D12 6.980%, and D16 5.756%. Overall, the use of COP was able to reduce waste by about 5% compared to the conventional method.

Web-Based Inventory Information System at Mitra Com Electronics Business

2026-03-10T06:40:09+00:00

An inventory information system is important for helping Micro, Small, and Medium Enterprises (MSMEs) manage stock data accurately and efficiently. MSME Mitra Com still uses manual stock recording, which often causes data errors, delays in reporting, and difficulties in monitoring inventory conditions. This study aims to develop a web-based inventory information system to support stock management activities at MSME Mitra Com. The research method used is software engineering with a qualitative descriptive approach. The research stages include system requirement analysis, system design using Unified Modeling Language (UML), system implementation using PHP and MySQL, and system testing using the Black Box Testing method. The results show that the developed system can manage item data, record incoming and outgoing goods, and generate inventory reports automatically. The system helps improve work efficiency, reduce recording errors, and support decision-making at MSME Mitra Com.

Geographic Information System (GIS)-Based Health Service Search Information System in Banda Aceh City

2026-03-11T03:44:08+00:00

The rapid development of information technology has encouraged improvements in public service delivery, particularly in the health sector. However, residents of Banda Aceh City still experience difficulties in accessing fast, accurate, and integrated information regarding the locations and services of health facilities. This study aims to design and develop a web-based health service information system integrated with a Geographic Information System (GIS) to support public access to health facility information and assist data management at the Aceh Health Office. The system was developed using the Waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance stages. The proposed system provides an interactive digital map displaying hospitals and community health centers (puskesmas), complete with facility details, service types, and route navigation features. System testing using the black box method indicates that all main system functionalities operate according to user requirements. The results show that the system improves accessibility to health service information and supports more efficient management of health facility data in Banda Aceh City.