Jurnal Inotera

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

Carri Noer Fida Yanik — 2026-01-02

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

Rivaldo Hardiansyah — 2026-01-06

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

Mislina Alif — 2026-01-09

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

Agus Heri Yunial — 2026-01-19

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

Muhammad Ihsan — 2026-01-27

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

Mohd Iqbal Muttaqin — 2026-01-30

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

Wasis — 2026-02-02

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.