Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal INFOTEL International Journal of Educational Narratives
Allin Junikhah
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Mechanical Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Prediksi Cakupan Area untuk Jaringan Wireless Indoor Kampus berdasarkan Penempatan Access Point Fransiska Sisilia Mukti; Allin Junikhah
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 10 No. 2 (2019): Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v10i2.55

Abstract

The placement of a transmitter in a wireless network (access point) is one of the essential things which must be considered by the network designer. The right placement will give the maximum signal spread, especially for the closed environment, because of the effect of the indoor propagation, which affects the signal strength decrease significantly. Every AP’s placement point will have different signal spread pattern, including the coverage area. The AP placement process carried out so far still uses conventional methods, namely trial-error, which requires a long time to analyze its performance. A coverage prediction system modeling is built to determine the spread of signals generated by an AP. This modeling is done using a statistical approach in 2D. The modeling did a visualization that is run through software and gives the result of mapping the coverage area of an AP. The test results show that the percentage of area coverage generated based on the AP placement used is currently 72.5%. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP. The maximum distance between the AP and the user so that it is within the coverage area is 13.21m
IMPLEMENTASI VIGENERE CIPHER PADA APLIKASI MYPRICHAT END-TO-END ENCRYPTED SMS BERBASIS ANDROID Allin Junikhah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 3 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i3.3012

Abstract

Teknologi Short Message Service (SMS) merupakan teknologi yang tidak asing lagi dalam masyarakat. Teknologi layanan pengiriman pesan singkat ini memiliki kelebihan tersendiri jika dibandingkan teknologi messanger instan yang banyak dikenal dewasa ini. Teknologi SMS tidak memerlukan jaringan internet bagi sisi penerima, sehingga dapat dipastikan pesan akan selalu tersampaikan. Teknologi ini juga dapat digunakan pada seluruh tipe telepon selular manapun. SMS masih banyak digunakan dalam aktifitas perpesanan teks singkat terlebih yang berhubungan dengan otentikasi akun pribadi, yang memastikan agar pesan diterima baik oleh penerima. Semakin berkembangnya teknologi dan mudahnya mendapatkan informasi pada era sekarang ini, semakin masyarakat memahami pentingnya pengamanan dalam data informasi pribadi termasuk pada komunikasi pesan teks, terlebih untuk pesan rahasia yang sangat sensitif yang tidak berhak dikonsumsi oleh pihak lain yang tidak berkepentingan. Karena pada dasarnya data yang terdapat pada SMS merupakan teks terang atau plainteks. End-to-end encryption (E2EE) merupakan mekanisme dimana komunikasi pesan hanya dapat diakses oleh pengirim dan penerima data. Memanfaatkan sisi kelebihan SMS sebagai media komunikasi serta menggunakan mekanisme end-to-and encryption, aplikasi MyPriChat (My Private Chat) dibangun. Aplikasi ini merupakan aplikasi mobile yang memanfaatkan teknologi SMS dengan tambahan fitur pengamanan enkripsi yang mengimplementasikan algoritma Vigenere Cipher. Aplikasi ini dibangun pada sistem operasi berbasis Android. Untuk dapat memanfaatkan aplikasi enkripsi SMS MyPriChat yaitu dengan melakukan instalasi baik pada telepon seluler user pengirim maupun user penerima. Pada tahap pengujian, aplikasi enkripsi SMS MyPriChat telah dapat berjalan pada emulator maupun telepon seluler dengan baik. Aplikasi ini diharapkan dapat memberikan suatu pilihan dalam berkomunikasi, selain sebagai suatu aplikasi yang memberikan layanan komunikasi pesan teks, sekaligus dapat mengamankan pesan teks yang dikirimkan.
WEBGIS OF MAPPING PASURUAN CITY FURNITURE INDUSTRY USING LEAFLET AND OPENSTREETMAP Allin Junikhah; Khadijah Fahmi Hayati Holle
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 9, No 4 (2023): September 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i4.2470

Abstract

Abstract: Pasuruan is a well-known area for producing furniture products in East Java. The furniture commodity industry is widely spread in this city. This industry is also one of the top products. To boost market interest in the furniture industry in Pasuruan City, which has been affected by the COVID-19 pandemic, and a geographic information system has not yet been developed in an effort to develop the furniture industry, research has been carried out on a web-based geographic information system (WebGIS) mapping the furniture industry in Pasuruan City using Leaflets and OpenStreetMap. The developed furniture industry WebGIS application takes advantage of the open source and dynamic advantages of Leflet and OpenStreetMap technologies which have provided very decent results on several GIS web-based application systems. In the testing phase with the Blackbox method, the WebGIS application for the furniture industry in Pasuruan City functionally has run well on desktop devices and also run well on simulated mobile devices. Testing was carried out on several types of browsers like Google Chrome and Microsoft Edge. This WebGIS application has been able to map the furniture industry in Pasuruan City so that the distribution of economic activity actors, especially the furniture industry, can be seen throughout the city and each sub-district. It can provide detailed information on furniture industry players in Pasuruan.            Keywords: framework; leaflet; mapping; openstreetmap; webgis  Abstrak: Pasuruan merupakan salah satu daerah yang terkenal sebagai penghasil produk mebel di Jawa Timur. Industri komoditas mebel tersebar cukup banyak di kota ini. Industri ini juga merupakan salah satu produk unggulan. Guna mendongkrak minat pasar akan industri mebel kota Pasuruan yang terimbas pandemi COVID-19, dan belum dikembangkannya suatu sistem informasi geografis sebagai upaya pengembangan industri mebel maka dilaksanakan penelitian tentang sistem informasi geografis berbasis web (WebGIS) pemetaan industri mebel kota Pasuruan menggunakan Leaflet dan OpenStreetMap. Aplikasi WebGIS industri mebel yang dikembangkan memanfaatkan kelebihan teknologi Leflet dan OpenStreetMap yang bersifat open source dan dinamis yang telah memberikan hasil yang sangat layak pada beberapa sistem aplikasi berbasis WebGIS. Pada tahap pengujian dengan metode Blackbox, aplikasi WebGIS industri mebel kota Pasuruan secara fungsional telah dapat berjalan dengan baik pada perangkat dekstop dan juga berhasil berjalan dengan baik pada simulated mobile device. Pengujian dilakukan pada beberapa macam browser seperti Google Chrome dan Microsoft Edge. Aplikasi WebGIS ini telah dapat memetakan industri mebel kota Pasuruan, sehingga dapat diketahui sebaran pelaku kegiatan ekonomi khususnya industri mebel, baik seluruh kota maupun tiap-tiap kecamatan, serta dapat memberikan detail informasi pelaku industri mebel di kota Pasuruan. Kata kunci: framework; leaflet; openstreetmap; pemetaan; webgis
A Coverage Prediction Technique for Indoor Wireless Campus Network Fransiska Sisilia Mukti; Allin Junikhah
JURNAL INFOTEL Vol 11 No 3 (2019): August 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i3.434

Abstract

The placement of an Access Point (AP) is an important key to determine the spread of the signal. To get the optimal spread of signals, a network designer is required to understand how much coverage an AP can generate. A prediction is given to describe the coverage area produced based on AP placement for the wireless campus network, using a coordinate map modeling based on the real size for the indoor environment. The theoretical approach is used to determine the coverage area of an AP device by testing the function of the distance between the AP and the user. The results show that the signal generated by an AP will cover the entire area that is still on the LOS propagation path. The coverage area generated through AP placement in this case study reached 77.5%. The maximum distance between the AP and the user so that it is within the coverage area is 13.851m. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP.
Narrating Minimal Data: Rethinking Cohort-Based GPA Prediction in Low-Resource Higher Education Contexts Berdinata Massang; Rolty Glendy Wowiling; Allin Junikhah; Firmanians Romula Tuerah; Andrew Nathanael Ratag; Febri Kurnia Manoppo
International Journal of Educational Narratives Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i1.3506

Abstract

Background. Student performance prediction has become a major topic in educational data mining and learning analytics. However, most previous studies rely on high-dimensional datasets such as attendance records, course-level grades, and learning management system logs, which are often unavailable in institutions with limited digital infrastructure. Purpose. This study aims to evaluate the feasibility of predicting student academic performance using minimal institutional data and to establish a practical baseline for machine learning implementation in low-resource higher education contexts. Rather than maximizing predictive accuracy, this research examines the lower boundary of predictive capability when only simple academic variables are available. Method. A quantitative descriptive–predictive design was applied to 355 student records from the Christian Religious Education Study Program at IAKN Manado, Indonesia. GPA values were categorized into four classes (Poor, Fair, Good, and Very Good). The dataset was split into 75% training and 25% testing subsets, and class imbalance was addressed using SMOTE. Four models were evaluated: Dummy Classifier, Decision Tree, Random Forest, and Neural Network (MLP). Performance was assessed using accuracy and 5-fold cross-validation. Results. The Dummy Classifier achieved an accuracy of 15.73%, establishing a realistic baseline under balanced class conditions. Decision Tree and Random Forest produced the highest accuracy at 46.06%, while the Neural Network achieved 40.44%. However, cross-validation results remained lower, indicating limited generalization and possible overfitting under minimal-feature conditions. Conclusion. This study shows that simple institutional data can still provide non-trivial predictive signals, but predictive performance remains moderate. The main contribution of this study lies in positioning minimal-data prediction as a baseline methodological framework for institutions with constrained academic datasets, rather than as a high-accuracy predictive solution.
Co-Authors Andrew Nathanael Ratag Febri Kurnia Manoppo Firmanians Romula Tuerah Fransiska Sisilia Mukti Khadijah Fahmi Hayati Holle Massang, Berdinata Rolty Glendy Wowiling