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All Journal Jurnal Pendidikan Akuntansi Indonesia Journal of Economics, Business, & Accountancy Ventura Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control J-Dinamika: Jurnal Pengabdian Kepada Masyarakat International Journal of Science and Environment ELPOSYS: Jurnal Sistem Kelistrikan Jurnal Polimesin Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang dan Teknik Sipil
M Zaky Zaim Muhtadi
Program Studi Teknik Instrumentasi Kilang, Politeknik Energi Dan Mineral Akamigas, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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MANAJEMEN PEMELIHARAAN UNTUK OPTIMALISASI LABA PERUSAHAAN Muhammad Zaky Zaim Muhtadi
Jurnal Pendidikan Akuntansi Indonesia Vol 8, No 1 (2009): Jurnal Pendidikan Akuntansi Indonesia
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpai.v8i1.943

Abstract

Sejalan dengan perkembangan teknologi dewasa ini, persoalan yang dihadapi perusahaanterutama perusahaan industri akan semakin kompleks. Hal ini menuntut manajemenperusahaan untuk mengambil suatu tindakan yang bijaksana dengan memilih alternatifdalam mengambil keputusan agar tujuan perusahaan dapat tercapai. Salah satu tujuanyang paling utama adalah optimalisasi laba.Untuk mendapatkan optimalisasi laba dapat dilakukan diantaranya dengan melakukanpemeliharaan sarana dan prasarana. Pemeliharaan dilakukan untuk menjaga suatu barangatau memperbaikinya sampai pada suatu kondisi atau standar yang dapat diterima atausuatu aktivitas yang dibutuhkan untuk menjaga semua fasilitas dalam kondisi siappakai/operasi dan tetap dalam kondisi seperti semula.Dalam perusahaan industri, salah satu pemeliharaan yang harus diperhatikan adalahperawatan terhadap mesin-mesin yang dimilikinya. Ada beberapa macam sistempemeliharaan yang dapat diterapkan antara lain : sistem pemeliharaan sesudah rusak,sistem pemeliharaan rutin, sistem pemeliharaan ulang dan sistem pemeliharaan produktif.Namun ada kalanya suatu komponen/mesin sebaiknya diganti berdasarkan jam operasisesuai dengan petunjuk pabrikan untuk menghindari kerugian yang lebih besar.
Improving Fuel Consumption Efficiency of Synchronous Diesel Generator Operated at Adjustable Speed using Adaptive Inertia Weight Particle Swarm Optimization Algorithm Muhtadi, M Zaky Zaim; Suryoatmojo, Heri; Soedibyo; Ashari, Mochamad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 4, November 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i4`.1756

Abstract

Diesel generator is a reliable source of electricity, but it requires quite high operational costs, especially for fuel. This paper describes a technique for reducing fuel consumption in Diesel Engine Synchronous Generator systems. The system is originally a Constant Speed Diesel Synchronous Generator (CSD-SG), but during certain conditions, the speed is reduced to minimize fuel consumption by adjusting the Specific Fuel Consumption (SFC) map. SFC is defined as the amount of fuel consumed by a diesel engine generator for each unit of power output. It shows various numbers depending on the speed and operating power. In this paper, we use the Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO) algorithm to select of the proper SFC curve at a certain speed and operating power. AIWPSO employs an adaptive inertial weight adjustment method, which enables this algorithm to achieve faster convergence than conventional Particle Swarm Optimisation (PSO) algorithms. The system is embedded with AC/DC/AC power electronics converter to regulate the frequency. Data set of 1000 kVA Cummins diesel engine generator from the oil and gas company in Central Java, Indonesia was taken for simulations. The results show that the AIWPSO algorithm calculates the fuel consumption as 1,678 liters per day on a typical condition, whereas in the previous method, the linear line needs 1,693 liters per day. Therefore, using AIWPSO method can save up to 450 liters of fuel per month. The simulation results show that the proposed method can improve fuel efficiency compared to the previous model.
Optimalisasi Desain Sistem Photovoltaic untuk Elektrifikasi Sumur Minyak Terpencil Menggunakan PVsyst Muhtadi, M Zaky Zaim; Naufal, Muhammad Mirza; Pujianto, Pujianto; Hamdani, Chalidia Nurin
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 1 (2025): ELPOSYS vol. 12 no. 1 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i1.6621

Abstract

Sustainable power management in remote oilfield operations faces significant challenges due to grid dependency. This study evaluates a photovoltaic microgeneration system implementation at PT XYZ's oilfield facility using PVsyst simulation software. The methodology incorporates site-specific parameters to optimize system configuration for grid integration. Results show that a 4-unit monocrystalline photovoltaic array, receiving annual Global Horizon irradiation of 2008.9 kWh/m² and Global effective irradiation of 1893.9 kWh/m², achieves 2446.3 kWh/year generation capacity with 1974.6 kWh/year available for consumption. This microgeneration system meets 53.3% of the facility's 3706.9 kWh annual demand, with a Performance Ratio of 0.619, demonstrating significant potential for remote oilfield applications. The system's performance indicates opportunities for enhancement through capacity expansion, smart grid integration, and implementation of advanced monitoring systems, offering a scalable model for similar remote facilities in the oil and gas sector.
Sistem Monitoring Energi Listrik 3 Fase Berbasis IoT dan Firebase Muhtadi, M Zaky Zaim; Ranolat, Susana; Pujianto
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.7206

Abstract

This research develops an Internet of Things (IoT)-based three-phase electrical energy monitoring system using Firebase for real-time energy management at PEM Akamigas Campus. The system integrates PM1200 Schneider power meter, ESP32 microcontroller, RS485 to TTL converter, and Firebase Realtime Database to monitor electrical parameters (voltage, current, power) simultaneously across three phases. Implementation testing was conducted for two hours with two-minute intervals, demonstrating system reliability with 100% data transmission success rate and latency under 2 seconds. Results show power fluctuations ranging from 9177W to 26285W, with peak consumption of 26285W occurring at 16:00-16:28, correlating with campus operational patterns. Compared to previous research, this system offers advantages in simultaneous three-phase monitoring, scalable cloud integration, and the excellent processing capabilities of ESP32. Although the system relies on a Wi-Fi connection and is not equipped with predictive features, opportunities for further development include the integration of machine learning, notification systems, integration of building management systems, and expansion to multiple locations for sustainable smart campus energy management.
Audit Energi sebagai Wujud Penghematan Energi Listrik di Asrama Vyatra 1 Politeknik Energi dan Mineral Akamigas Cepu Pujianto, Pujianto; Astrie Kusuma Dewi, Astrie Kusuma Dewi; M.Zaky Zaim Muhtadi, M.Zaky Zaim Muhtadi; Asepta Surya Wardana, Asepta Surya Wardana
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 2 (2025): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pelaksanaan audit energi di Gedung Asrama Vyatra I, PEM Akamigas, untuk mengidentifikasi potensi penghematan energi. Audit ini mencakup analisis konsumsi energi, profil tegangan dan arus, harmonisa, tata cahaya, dan sistem tata udara. Data historis konsumsi energi dinormalisasi dengan pengukuran selama dua minggu, menghasilkan perkiraan konsumsi energi tahunan sebesar 159.044 kWh. Gedung Asrama Vyatra I diasumsikan menyumbang ±9,17% dari total penggunaan energi di sepuluh gedung. Intensitas Konsumsi Energi (IKE) gedung ini meningkat dari 135,02 kWh/m²/tahun pada tahun 2021 menjadi 159,2 kWh/m²/tahun pada tahun 2023, melampaui nilai benchmarking gedung perkantoran sebesar 102 kWh/m²/tahun. Hasil pengukuran dengan Power Quality Analyzer (PQA) menunjukkan kondisi unbalance tegangan dan arus masih sesuai standar. Harmonisa arus (THD) juga berada di bawah batas standar IEEE 519-1992, yaitu <20%. Sistem pencahayaan dinilai cukup baik, meskipun masih terdapat area yang lampunya tetap menyala meskipun kosong. Suhu dan kelembaban di beberapa ruangan bervariasi, beberapa memenuhi standar SNI (suhu 25-27°C dan kelembaban relatif 50-70%), sementara yang lain berada di luar rentang tersebut. Implementasi penghematan, terutama pemasangan PLTS atap, direkomendasikan untuk mengurangi konsumsi energi dan memanfaatkan kelebihan energi untuk gedung-gedung lain di kompleks tersebut.
Development of a low-cost microcontroller-based carbon capture device using the direct air capture (DAC) method and sodium hydroxide absorbent Hamdani, Chalidia Nurin; Muhajir, Muhammad Hafiz; Akhiriyanto, Novan; Muhtadi, M. Zaky Zaim; Rosalinda, Hanny Megawati
Jurnal Polimesin Vol 23, No 5 (2025): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i5.7229

Abstract

Currently, Carbon Capture, Utilization, and Storage (CCUS) systems are emerging as a significant focus in discussions of climate change. CCUS refers to a set of technologies designed to capture Carbon Dioxide (CO2) emissions from various sources and either utilize it for beneficial purposes or store it to prevent release into the atmosphere. CO2, the primary gas responsible for the greenhouse effect, is generated across multiple sectors, notably in energy and transportation. In Indonesia, the energy sector is the most significant contributor to CO2 emissions, accounting for 697.97 million tons in 2022. In this study, we have developed a cost-effective carbon capture device utilizing the Direct Air Capture (DAC) method. This device uses a microcontroller as the primary control unit, along with a compact closed chamber serving as the main reactor. Sodium hydroxide (NaOH) was utilized as the absorbent in our study. We conducted experiments on this device, keeping the NaOH concentration and reaction time fixed while varying the absorbent flow rate as the independent variable. The experiment yielded quite promising results. The absorption of CO2 is directly related to both the flow rate of the absorbent and the reaction time. The maximum CO2 absorption recorded is 3.960 ppm, achieved at a flow rate of 10 liters per minute with a reaction time of 5 minutes. The results have been reconfirmed by chemical titration.
Optimizing LNG efficiency by implementing reliquefaction technology to reduce boil-off gas and enhance profitability Muhtadi, M. Zaky; Rayazen, Ichsan; Istiningrum, Andian Ari; Sugito, Bambang
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5607

Abstract

Run an analysis of this abstract, focusing on its relevance, format, flow, and coherence. Technological advancements compel companies to enhance the efficiency of their business operations, including those in the oil and gas sector. Natural gas, particularly Liquefied Natural Gas (LNG), is a vital commodity in significant demand. A primary challenge within the LNG supply chain is minimizing the losses caused by gas evaporation (boil-off gas) during distribution and reception. This study proposes the implementation of a reliquefaction plant on a 170,000 m³ Floating Storage and Regasification Unit (FSRU). Through this innovative approach, this study aims to optimize the utilization of Boil-off Gas (BOG) and augment the company's revenue. The results indicate that the liquefaction plant can reduce BOG by 77 percent, significantly outperforming conventional methods. The economic feasibility analysis revealed a Net Present Value (NPV) of $82,892,970 and an Internal Rate of Return (IRR) of 25 percent, suggesting substantial profit potential. Furthermore, the reliquefaction of 1,777.6 MMBtu BOG per day could potentially increase the company's revenue by IDR 94,078,421,500 annually, surpassing initial estimates. This study contributes significantly to the advancement of more efficient LNG management technologies, providing concrete solutions to minimize energy waste and enhance profitability within the LNG industry. These findings facilitate the implementation of similar technologies at other LNG facilities, potentially transforming industry-wide practices.
Rancang Bangun Sistem Pemantauan Stasiun Cuaca Otomatis Berbasis Augmented Reality dengan Integrasi Web API dan Basis Data Real-time Andi Tanri Seno Widyawati; M. Zaky Zaim Muhtadi
Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang dan Teknik Sipil Vol. 4 No. 2 (2026): April : Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang dan Teknik Si
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/konstruksi.v4i2.1364

Abstract

This study aims to design and develop an Augmented Reality (AR)-based application for real-time data monitoring of an automatic weather station at PT. XYZ. The system was developed using a prototyping method, involving five key stages: sensor data acquisition via CBOX devices and the Modbus RTU protocol, data transmission through a Flask-based Web API, storage in a MySQL database, QR code-based target image creation using the Vuforia Engine, and a 3D visualization interface developed with Unity integrated with the Vuforia SDK on Android devices. The system successfully received and stored weather data—such as temperature, humidity, and wind speed—into the MySQL database. The AR application also displayed a stable 3D interface panel over QR code markers, providing real-time data updates through an HTTP-based mechanism. This research demonstrates the successful integration of SCADA, Flask, MySQL, and Unity, enhancing both the functionality and commercial appeal of PT. XYZ’s weather station products. Future research should focus on field testing, cloud network integration, and device compatibility.
The Determinants and Impact of Mandatory Disclosure In Indonesian Manufacturing Companies Andian Ari Istiningrum; Muhammad Zaky Za&#039;im Muhtadi
Journal of Economics, Business, and Accountancy Ventura Vol. 21 No. 1 (2018): April - July 2018
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v21i1.1052

Abstract

The primary objective of this research is to determine the factors that have an association with mandatory disclosure and stock return. This research investigated 47 manufacturing companies listed on the Indonesia Stock Exchange in 2012. Mandatory disclosure in this research used items required to be disclosed under IAS 16 and IAS 17. The data analysis used the path analysis by setting two structural equation models. The Sobel Test was used to determine whether mandatory disclosure functions as a mediator. The research proved a significantly positive association of company age with the mandatory disclosure in contrast to company size and company profitability. This implies that the investors are able to find complete and transparent information in the financial statement of mature manufacturing companies.  Moreover, company size, company profitability, and mandatory disclosure have a significant positive association with stock return. This implies that it is necessary for the companies to disclose information as required by the accounting standard in Indonesia and the investors may recognize the big and the high profitability manufacturing companies as the places to invest. However, mandatory disclosure does not function as a mediator between company size, company age, company profitability and stock return.
Design of an MPPT Monitoring System for a Solar Power Plant Based on the Internet of Things Using ESP32 and Thing Speak Pujianto Pujianto; M Zaky Zaim Muhtadi; Miranda Odilia Lambiombir
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.565

Abstract

This study designed and implemented an Internet of Things (IoT)-based telemetry system to monitor electrical parameters in a solar power plant (SPP) installation equipped with a Maximum Power Point Tracking (MPPT) controller. The system was developed using an ESP32 microcontroller connected to an EPever MPPT controller via RS485-based Modbus RTU communication, which then transmits data in real-time over a WiFi network to the ThingSpeak cloud platform for storage, visualization, and remote monitoring. The research method used was descriptive-experimental, covering hardware and software design, communication testing, and operational data acquisition. The observed parameters included input voltage, input current, output voltage, output current, discharge voltage, and discharge current. Test results over the time range of 10:10–17:00—comprising seven sample points with non-uniform intervals—showed a maximum input voltage of 18.35 V with a current of 0.66 A at 13:00, reflecting optimal irradiation conditions, a maximum output voltage of 12.27 V, and relatively stable discharge parameters within a voltage range of 12.64–14.45 V and a current range of 0.05–0.19 A, serving as an indicator of the MPPT controller’s power regulation effectiveness. Analysis of the ThingSpeak graph confirmed that the input voltage pattern followed the daily irradiance curve, the dynamic response of the output voltage to irradiance fluctuations, and the identification of transient anomalies requiring further confirmation with an irradiance sensor. These findings indicate that the ESP32- and ThingSpeak-based telemetry system is suitable for use as an effective and economical PV system monitoring solution, with recommendations for further research including continuous data acquisition at fixed intervals, the addition of a pyranometer, and comparative validation with reference measurement instruments.
Co-Authors Akhiriyanto, Novan Andi Tanri Seno Widyawati Andian Ari Istiningrum Asepta Surya Wardhana Astrie Kusuma Dewi Bambang Sugito Chalidia Nurin Hamdani Heri Suryoatmojo Miranda Odilia Lambiombir Mochamad Ashari Muhajir, Muhammad Hafiz Naufal, Muhammad Mirza Pujianto Pujianto Pujianto Ranolat, Susana Rayazen, Ichsan Rosalinda, Hanny Megawati Soedibyo