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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Geodesi Undip Bulletin of Electrical Engineering and Informatics Sinergi Jurnal Teknologi Elektro InComTech: Jurnal Telekomunikasi dan Komputer Unistek: Jurnal Pendidikan dan Aplikasi Industri Journal Industrial Manufacturing
Septiyana, Diah
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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WATER CONSUMPTION PREDICTION USING FUZZY TIME SERIES - A CASE STUDY IN PRIVATE COMPANY OF TANGERANG DISTRICT INDONESIA Septiyana, Diah
J@ti Undip : Jurnal Teknik Industri Vol 15, No 3 (2020): September 2020
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.885 KB) | DOI: 10.14710/jati.15.3.203-208

Abstract

Consumption of water in the Tangerang Regency continuously increases from year to year due to the increasing population and birth rates an average increase of 3% every year. So, the water demand prediction to be important to meet customer or community needs. The private water utility company needs to use a new method for predicting future monthly water consumption values and improves accuracy when forecasting time series using a visibility graph and presents to make more accurate predictions. In this study, we aim to measure the trend analysis volume of water consumption prediction by Fuzzy Time Series versus actual usage volume.  Fuzzy Time Series (FTS) is a concept plan method that uses fuzzy logic that is able to provide predictions (estimates) of time series data analysis for the next several periods. Mean Absolute Percentage Error (MAPE) is obtained for different configurations of the input sets and of the FTS model structure. From the results of the average value error accuracy was only 4.5% using FTS Chen Method and included in the low category and water consumption actual versus prediction with the FTS Chen method shown related stable. 
Analisis Metode Failure Mode and Effect Analysis (FMEA) dan Fault Tree Analysis (FTA) Untuk Identifikasi Penurunan Kualitas Produk Toyota Hi-Ace (Studi Kasus di PT. EDS Manufacturing Indonesia) Lestari, Sri; Septiyana, Diah; Yuniawati, Winda
UNISTEK Vol 8 No 2 (2021): Agustus 2021 - Januari 2022
Publisher : UNIVERSITAS ISLAM SYEKH - YUSUF TANGERANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/unistek.v8i2.1456

Abstract

The high level failure is a problem that company always to minimized and to improve quality of final products, and also were conducted by PT. EDS Manufacturing Indonesia (PEMI) which is consistent in producting a quality product. PT. EDS Manufacturing Indonesia (PEMI) manufacture Toyota HI-ACE carline product for motorcycle. Therefore the high level failure in this product is unacceptable because it can harm or kill company, then to solve this problem we propose to use Failure Mode and Effect Analysis (FMEA) method and Fault Tree Analysis (FTA). Our research using the FMEA method at PT. EDS Manufacturing Indonesia for Toyota HI-ACE carline product shows the existence of various modes of failure in the production and quality assurance areas. The FMEA method give suggestions for improvements to the 2 failure modes to be priority based on the highest RPN value that is wrong dimension and demage insulation. The next step is identify the risks that contribute to failure with using the Fault Tree Analysis (FTA). With FMEA we found the highest RPN value that show highest defect such as damage insulation 324 or 14.78% and wrong dimension 280 or 12.77%. Keywords: failure mode, risk analysis, FMEA, FTA, RPN Value
Pemantauan Kualitas Udara ISPU (PM10, SO2, NO2) Menggunakan Citra Landsat 8 dan 9 untuk Kecamatan Mijen Selama Pandemi Covid-19 Septiyana, Diah; Sukmono, Abdi; Yusuf, Muhammad Adnan
Jurnal Geodesi Undip Vol 12, No 3 (2023): Jurnal Geodesi Undip
Publisher : Departement Teknik Geodesi Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jgundip.2023.38859

Abstract

Kota Semarang sebagai salah satu kota besar di Jawa Tengah sebagai kota metropolitan mampu melatarbelakangi perkembangan kota dengan pesat. Perkembangan tersebut dapat dilihat dari meningkatnya kawasan pemukiman dan kawasan perindustrian. Bukit Semarang Baru (BSB) yang berada di Kecamatan Mijen merupakan kota satelit yang memiliki sarana perumahan, kawasan industri, sarana rekreasi, dan pendidikan. Dengan meningkatnya kegiatan perindustrian, tentunya berdampak pada perubahan lingkungan, salah satunya adalah perubahan kualitas udara. Penginderaan jauh dapat dimanfaatkan untuk mendeteksi kandungan polutan yang ada di udara. Citra satelit Landsat 8 dan Landsat 9 dapat dimanfaatkan untuk pemantauan sebaran PM10, SO2, dan NO2 dengan menggunakan kombinasi band 4-3-2 dan Mono Window Algorithm (MWA) dalam penentuan Land Surface Temperature (LST). Hasil pengolahan algoritma PM10 pada periode sebelum, selama, dan sesudah Pembatasan Kegiatan Masyarakat (PKM) menunjukkan bahwa pada periode PKM sebaran PM10 mengalami penurunan di bulan April 2021 dan Juni 2021 dengan nilai luas yang sama yakni 57 km2 atau semua daerah di Kecamatan Mijen berada pada rentang yang sama yakni 0-19 µg/m3. Hasil pengolahan algoritma SO2 pada periode sebelum, selama, dan sesudah PKM menunjukkan sebaran SO2 terendah berada pada tanggal bulan 10 Mei 2020 dan 30 Juni 2021 (selama PKM) dengan masing-masing luas 56,509 km2 dan 56,503 km2. Kemudian pada masa setelah PKM pada tanggal 22 April 2022 dengan luas terendah yakni pada rentang 0-50 ppm sebesar 56,490 km2. Hasil pengolahan algoritma NO2 pada periode sebelum, selama, dan sesudah PKM menunjukkan hasil citra bulan Agustus memiliki nilai rentang tertinggi yang mencapai 179-180 µg/m3. Walaupun nilai rata-rata antara hasil pengolahan algoritma PM10 dan SO2 dengan hasil pengukuran Dinas Lingkungan Hidup berbeda, namun setelah dilakukan konversi masih sesuai karena berada pada satu kategori yang sama. Namun untuk hasil parameter NO2 tidak sesuai dengan pengukuran Dinas Lingkungan Hidup karena berada pada kategori yang berbeda.
USULAN PERBAIKAN PERAMALAN PRODUKSI BAN PT. XYZ MELALUI PENDEKATAN METODE EXPONENTIAL SMOOTHING Septiyana, Diah; Bahtiar, Agung
Journal Industrial Manufacturing Vol 5, No 1 (2020): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v5i1.2444

Abstract

Ban merupakan salah satu bagian terpenting untuk industri otomotif, dimana perkembangan industry otomotif saat ini semakin meningkat sehingga kebutuhan atau pangsa pasar ban ikut meningkat. PT XYZ merupakan salah satu perusahaan di Tangerang yang bergerak dalam bidang manufaktur. Untuk penghematan biaya pengendalian dan proses produksi namun aktualnya sering kali penjualan tidak sesuai dengan apa yang diprediksi. Oleh sebab itu perlu dibuat peramalan penjualan yang lebih baik dan efisien agar penghematan biaya pengendalian dan proses produksi bisa tercapai. Penelitian ini bertujuan untuk menentukan jumlah peramalan penjualan produk ban tahun kedepan melalui exponential smoothing dan mengetahui nilai kesalahan dengan menggunakan MSE dan MAPE. Hasil penelitian menunjukkan hasil peramalan yang cukup mendekati antara aktual dengan peramalan meskipun terdapat peningkatan permintaan pada bulan Maret, Mei, Juni dan Agustus. Selisih yang cukup signifikan peningkatannya adalah pada bulan Agustus dengan nilai selisih 3 6% lebih tinggi dari peramalan. Nilai MAPE yang dihasilkan dari peramalan produksi ban rata-rata 11.19% dan Mean Square Error (MSE) terkecil sebesar 26,181,910 dengan rata-rata selama setahun sebesar 23,484,964,646.Kata Kunci: Peramalan, Ban Radial, Exponential Smoothing, MAPE, MSE
Implementasi Analytical Hierarchy Process (AHP) dalam Pemilihan Supplier Chemical di PT Adis Dimension Footwear Septiyana, Diah; Ari, Muhammad Afandi
Journal Industrial Manufacturing Vol 7, No 2 (2022): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v7i2.6923

Abstract

Supplier selection is one of the most important things in the company's purchasing activities. The selection of suppliers must be done carefully; if done wrong, it can cause disruption to the company's operations. Supplier selection becomes a multi-criteria problem, which includes qualitative and quantitative factors. One method that can be used for supplier selection is the AHP (Analytical Hierarchy Process) method. This research was conducted at a footwear industrial company, PT. Adis Dimension Footwear. The problems found in this research are: Which chemical supplier will be chosen by PT Adis Dimension Footwear based on the AHP method? Then what is the order of priority criteria and sub-criteria in the selection of chemical suppliers at PT. Adis Dimension Footwear? The sample for this research is the decision-makers and the parties who are in the purchasing and warehouse departments and know the performance of suppliers. This study uses the AHP (Analytical Hierarchy Process) method. From the results of the research, the importance of the criteria in supplier selection produces the following weights: The first order is quality criteria with a weighted value of 0.6333. Furthermore, the second rank is the criteria for delivery time with a weight of 0.2605, and the third is the price criteria with a weight of 0.1062. The chemical supplier selected based on research using the AHP method is Grand Chemical, which has a total weight of 0.4285. Asia Chemical Supplier comes in second with a total weight of 0.4093. Binzhou Longfeng Chemical Supplier comes in third place with an overall score. Keywords: Supplier selection, Analytical Hierarchy Process (AHP), footwear industrial, chemical supplier.
Benchmarking in QoS and Energy Consumption SAW and TOPSIS Algoritm in Low Cost Microcontroller for Wireless Sensor Network Routing Application Hakim, Galang Persada Nurani; Septiyana, Diah; Dani, Akhmad Wahyu; Sirait, Fadli
Jurnal Teknologi Elektro Vol 15, No 2 (2024)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2024.v15i2.008

Abstract

The Wireless Sensor Network technologies have provides us with cheap and unique solution to deal with telecommunication infrastructure problem that don’t exist in extreme and isolated area. To guarantee the quality of service of Wireless Sensor Network wireless data transmission, a lot of researchers propose to employ a routing algorithm, such as SAW and fuzzy topsis from MCDM algorithm. A lot of routing algorithm in Wireless Sensor Network was based on these algorithms. In this paper we propose to do simulation and real time energy measurement in order to determine the best MCDM algorithm to be use in Wireless Sensor Network routing. In QoS 3x4 node simulation Both algorithm has provide low delay 31 millisecond and low packet loss 16 bit. This good performance in QoS however has disadvantage which has higher hop quantity. In term of energy consumption SAW has less energy consumption (better) compare with fuzzy topsis for each microcontroller development platforms that we have test. Although it was small but we have difference in energy consumption between SAW and fuzzy topsis, for ESP32 it has difference 39 microJoule, for ESP8266 it has difference 129 microJoule and for ATMEGA328P it has difference 2 microJoule.
ANFIS method to enhance FMEA water operation model of Indonesia drinking water distribution system Septiyana, Diah; Abd. Rahman, Mohamed; Mohamed Ariff, Tasnim Firdaus; Rosarina, Desy; Adesta, Erry Yulian T.; Hakim, Galang Persada Nurani; Sukindar, Nor Aiman
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.016

Abstract

Many problems are found in water treatment and distribution in water operations. Those problems range from low to critical risk. All critical risks must be addressed immediately. The Failure Mode and Effects Analysis (FMEA) prioritizes problems based on Occurrence, Severity, and Detection values to identify critical risks. However, this method is also having problems. With the same risk priority number (RPN) calculation, FMEA would be a ranking problem with the same RPN value; hence, we have a priority problem that is not critical but based on the highest value. To solve this problem, we propose additional methods, such as the ANFIS, to give weight based on risk level classification. From the results of data processing carried out by the ANFIS method, it is proven that it can perform re-ranking, for example, in the L2, R5, S8, and U3 code, which has an FMEA RPN value of 12. However, in FMEA-ANFIS, the RPN value becomes L2 2.05, R5 1.52, S8 1.32, and U3 2.52. Furthermore, with these results, it can be concluded that the ANFIS method can enhance the FMEA model in water operations.
Rancang Bangun Triptonic Tracking System pada Panel Surya Thin Film Firdausi, Ahmad; Al-Mulki, Abdul Malik; Septiyana, Diah
InComTech : Jurnal Telekomunikasi dan Komputer Vol 14, No 2 (2024)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v14i2.25498

Abstract

Era globalisasi dan kebangkitan generasi milenial ini Indonesia telah mengalami lonjakan konsumsi energi di tengah munculnya Industri 4.0. Namun, ketergantungan yang besar pada sumber energi tak terbarukan, seperti bahan bakar fosil dan batubara, telah menyebabkan penipisan yang cepat dan konsekuensi lingkungan, termasuk polusi udara dan air. Untuk mengatasi tantangan ini, integrasi sumber energi terbarukan, khususnya energi surya, telah muncul sebagai solusi mutakhir. Studi ini menyajikan pengembangan dan evaluasi prototipe Triptonic Tracking System pada Panel Surya Thin film. Tujuannya adalah untuk membuat prototipe, menilai efisiensi panel surya thin film dengan Sistem Pelacakan Triptonic, dan memaksimalkan pemanfaatan energi matahari melalui teknologi pelacakan inovatif ini. Metodologi penelitian melibatkan dua mode pengujian: Otomatis dan Manual. Selama mode Otomatis, Sistem Pelacakan Triptonik secara otomatis menyelaraskan panel surya dengan posisi matahari, sedangkan mode Manual memungkinkan penyesuaian manual berdasarkan sudut azimuth matahari. Pengukuran arus, tegangan, suhu lingkungan, dan intensitas cahaya dilakukan selama pengujian. Hasil menunjukkan bahwa Sistem Pelacakan Triptonic secara efektif mengikuti sudut matahari selama mode Otomatis, dan mode Manual memungkinkan penyesuaian manual yang fleksibel. Prototipe mencapai tegangan maksimum 4,1080 V selama mode Manual, dengan output daya rata-rata 1,351 watt dan intensitas cahaya rata-rata 123148,75 Candela. Selanjutnya, panel surya Thin film menunjukkan efisiensi 1,801% selama mode Manual. Temuan menunjukkan bahwa Sistem Pelacakan Triptonik menjanjikan untuk meningkatkan efisiensi panel surya secara signifikan.
The neural network adaptive behaviour model for localization and speed control in autonomous rescue mobile robot operation Hafizd Ibnu Hajar, Muhammad; Persada Nurani Hakim, Galang; Siti Salamah, Ketty; Septiyana, Diah
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9365

Abstract

In robotic operation, an autonomous operation for a mobile robot is needed to operate smoothly, hence, a control system is needed. Numerous architectures for robotics control systems have been put forth. Regretfully, creating a control system architecture is very challenging and occasionally results in inaccuracy in control. An alternative to conventional mobile robot control has emerged to address this issue: behavior-based control system architectures. This paper addresses the behavior of an autonomous mobile robot (AMR) control system in an outdoor rescue operation. The AMR behavior will be governed by the neural network methods, which are a computational intelligence to generate a dependable control algorithm. The architecture is used to coordinate behavior, especially to localize the victims, and for speed control to find the victim location with fast timing. In localization parameters to find the victim in the disaster area, this neural network adaptive model has the smallest error, which is 3.27, compared with other models such as free space model 43.46, and empirical model 4.735. While in robot speed parameter has a low error value, which is 1.47. With this small error, we can conclude that the neural network adaptive behaviour control architecture model for rescue mobile robot operation has been successfully developed.
Co-Authors Abd. Rahman, Mohamed Abdi Sukmono, Abdi Adesta, Erry Yulian T. Ahmad Firdausi Akhmad Wahyu Dani, Akhmad Wahyu Al-Mulki, Abdul Malik Anak Agung Gede Sugianthara Ari, Muhammad Afandi Bahtiar, Agung Fadli Sirait Galang Persada Nurani Hakim Hafizd Ibnu Hajar, Muhammad Ketty Siti Salamah Mohamed Ariff, Tasnim Firdaus Muhammad Adnan Yusuf, Muhammad Adnan Persada Nurani Hakim, Galang Rosarina, Desy Sukindar, Nor Aiman Yuniawati, Winda