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All Journal International Journal of Electrical and Computer Engineering Bulletin of Network Engineer and Informatics (BUFNETS) Jurnal Ilmiah ESAI Prosiding Seminar Nasional Pengabdian Masyarakat
Eko Subyantoro
Politeknik Negeri Lampung
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IT Service Management System Measurement using ISO20000-1 and ISO15504-8: Developing a Solution-Mediated Process Assessment Tool to Enable Transparent and SMS Process Assessment Imam Asrowardi; Septafiansyah Dwi Putra; Eko Subyantoro; Norzaidi Haji Mohd Daud
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.074 KB) | DOI: 10.11591/ijece.v8i5.pp4023-4032

Abstract

Information technology is about not only hardware, software, communication infrastructure and communication infrastructure but also how to manage services. Information technology plays an increasingly important role in developing the structure and functions of public and private sectors. Service measurement plays an important role in IT service management (ITSM) that is one of the subfields of Services Computing science. ITSM is a big part of service science, a science field that combines computer science, operation research engineering, business strategy, management science, and organizational theory. Performance measurement from each of IT services is absolutely needed and is important in the continuous development of ITSM. These research provide good technical knowledge about the measuring ITSM with some requirements. In this paper we suggest the metrics in each service processes enables organizations to predict a direction for active process enhancement and to identify if the goal of process can achieve. This objective process metrics based on ISO/IEC 15504-8 and PRM ISO/IEC 20000-4 refinement. The output of this research, in the form of metrics and tools for any type organizational use.
Penghitungan Suara Pilkada Gubernur Lampung dengan Metode Quick Count Berbasis SMS Imam Asrowardi; Eko Subyantoro; Tri Sandhika Jaya
Jurnal Ilmiah ESAI Vol 4 No 1 (2010)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v4i1.1333

Abstract

General election is one of democracy party in Indonesia. Recently, local election also applies direct voting by the people. Quick count method was developed by using sampling data as comparison to find out the result of local elections rapidly. SMS can be used to deliver data directly to a computerized system so that the voting data with quick count method would be accumulated faster and presented automatically by the system. Besides, quick count data collection with SMS will also expand the processed data sampling. Keyword: SMS system, quick count, system, Automatic
Inovasi Produk Stik Kopi Untuk Peningkatan Daya Saing UMKM Dapur Oma Cinta Zukryandry Zukryandry; Eko Subyantoro; Zuriati Zuriati; Agiska Ria Supriyatna
Prosiding Seminar Nasional Pengabdian Masyarakat Vol. 2 (2024): Prosiding Seminar Nasional Pengabdian Masyarakat
Publisher : CV. Dharma Samakta Edukhatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61142/psnpm.v2.165

Abstract

Program pelatihan pengembangan produk stik kopi pada UMKM Dapur Oma Cinta (DOC) merupakan inovasi yang bertujuan untuk meningkatkan daya saing sekaligus menambah pendapatan mitra melalui pengembangan produk baru yang dapat memperluas pasar dan memperkaya variasi usaha. Mitra  DOC selalu berinovasi dalam menciptakan berbagai kue atau camilan dari turunan kopi, dengan fokus pada penggunaan bahan baku lokal, seperti kopi Robusta asli Lampung. Kegiatan pelatihan ini membantu mitra berinovasi dengan mengembangkan stik kopi yang lebih bernilai ekonomi tinggi dan berpotensi memperluas pasar. Dampak dari kegiatan ini meliputi: 1) Meningkatnya pengetahuan mitra mengenai inovasi dan pengembangan produk stik kopi yang lebih beragam; 2) Peningkatan keterampilan mitra dalam memproduksi stik kopi berkualitas tinggi dan kompetitif di pasar yang lebih luas. Hasil pelatihan menunjukkan peningkatan keterampilan peserta, di mana nilai pre-test peserta berkisar antara 40 hingga 60, sedangkan nilai post-test meningkat menjadi 75 hingga 80. Peserta dengan nilai pre-test lebih rendah mengalami peningkatan signifikan sebesar 25 hingga 35 poin, sementara peserta dengan nilai awal lebih tinggi menunjukkan peningkatan sebesar 15 hingga 25 poin. Peningkatan ini mencerminkan keberhasilan pelatihan dalam meningkatkan pemahaman dan keterampilan produksi stik kopi secara merata, terutama bagi peserta dengan pengetahuan awal yang lebih rendah. Program ini berhasil memperkenalkan inovasi baru dalam produksi camilan berbahan dasar kopi, yang memperkuat daya saing mitra sekaligus menambah variasi produk, dengan tetap mengutamakan bahan baku lokal.
Design of an Edge-Intelligence Early-Warning System for Waste Odor Using Decision-Tree Classification-Rule Extraction on an ESP32 Microcontroller Agiska Ria Supriyatna; Imam Asrowardi; Eko Subyantoro; Dzakwan Akbar Perdana Wijaya; Naufaldi Favian Archi; Zahara Ummu Abdillah
Bulletin of Network Engineer and Informatics Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/fd5dmk21

Abstract

Uncontrolled organic waste releases volatile gases such as ammonia, hydrogen sulfide, and assorted volatile organic compounds that signal active decomposition and create both nuisance and health risk. Conventional odor monitoring relies on human olfaction or on laboratory instruments that are subjective, intermittent, or too costly for continuous deployment. This study presents a low-cost early-warning system that performs odor classification entirely at the edge on an ESP32 microcontroller. A gas sensor array (electronic nose) comprising six metal-oxide MQ sensors (MQ2, MQ3, MQ4, MQ8, MQ9, and MQ135) was used to acquire 184 labelled samples evenly split between a normal class and an odor-warning class. A Decision Tree classifier was trained, and the resulting decision logic was distilled into a compact set of human-readable threshold rules suitable for execution on a constrained microcontroller. Principal component analysis confirmed that the two odor states form clearly separable clusters (the first two components explain 89.7% of the variance). The extracted rule set attained 100% accuracy, precision, recall, and F1-score on a held-out test set, matching heavier models (random forest, support-vector machine, k-nearest neighbours) while requiring only a few bytes of memory and a handful of comparison operations per inference. To probe real-world reliability, a Gaussian sensor-noise injection study and a single-sensor-failure study were conducted. A redundant three-sensor majority-vote rule preserved above 95% accuracy at a noise level of 50% of the feature standard deviation and remained near 100% even when any single sensor failed, whereas a single-sensor rule collapsed to 48.6% on failure of its governing sensor. The results demonstrate that edge intelligence based on extracted decision-tree rules offers an accurate, interpretable, fault-tolerant, and extremely lightweight solution for continuous on-site waste-odor early warning.
Co-Authors Agiska Ria Supriyatna Dzakwan Akbar Perdana Wijaya Imam Asrowardi Naufaldi Favian Archi Norzaidi Haji Mohd Daud Putra, Septafiansyah Dwi Tri Sandhika Jaya Zahara Ummu Abdillah Zukryandry Zukryandry