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All Journal Journal of Economics, Business, & Accountancy Ventura Prosiding SNATIF PROtek : Jurnal Ilmiah Teknik Elektro Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal RESISTOR (Rekayasa Sistem Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Qua Teknika Building of Informatics, Technology and Science Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE) IPSSJ
Abdul Rakhman
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Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Pengembangan Algoritma Convolutional Neural Network dalam Menganalisis Emosi Suara Menggunakan Mel-Spektogram Zakka, Iqlima Sabila; Rakhman, Abdul; Lindawati, Lindawati
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7875

Abstract

Speech Emotion Recognition (SER) still faces challenges in accuracy, especially in distinguishing acoustically similar emotions. Conventional approaches such as MFCC (Mel Frequency Cepstral Coefficients) are often ineffective in capturing the emotional nuances of voice. To address this, this study aims to develop a Convolution Neural Network (CNN) model based on the Spec-ResNet architecture that uses Mel-Spectrogram as input to improve the system's ability to extract and recognize emotional signatures from speech signals. Another objective is to evaluate the performance of primary emotion classification in the RAVDESS dataset and measure model consistency through 5-fold cross-validation. The model used, Spec-ResNet, is an adaptation of the ResNet architecture equipped with residual learning to maximize the multi-stage feature extraction process. Experiments were conducted with the RAVDESS dataset containing 1,440 voice samples from six primary emotions: neutral, happy, sad, angry, afraid, and surprised. The test results showed a significant increase in accuracy, with a macro score reaching 92%, up from the MLP/SVM baseline of 83%. Neutral and happy emotions were classified very well (F1-scores of 93% and 90%), but emotions such as fear and surprise remained difficult to distinguish due to the similarity of their vocal patterns. Validation through 5-fold cross-validation yielded an average accuracy of 91.5% ± 0.8%. This study demonstrates the great potential of Mel-spectrograms in SER, while also underscoring the need for advanced approaches such as attention mechanisms to handle ambiguous emotions.
Analysis of DVB-T2 TV Broadcast Receiver with Comparison of Signal Reception Quality Dzikrillah, Muhammad; Handayani, Ade Silvia; Rakhman, Abdul
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6429

Abstract

Television is one of the most widely used media for receiving sound and image transmissions worldwide, particularly in Indonesia. Government regulations require all television broadcasters in Indonesia to cease analog broadcasts and transition to digital broadcasts. Consequently, a device known as the Set Top Box (STB), equipped with a low noise amplifier (LNA), converts DVB-T2 digital signals into images and audio suitable for analog televisions. Tests were conducted to evaluate its signal reception capabilities. These tests took place at four Palembang city locations, utilizing indoor and outdoor antennas. The results revealed that the device's signal strength ranged from -48.7 dBm, reaching 100% signal quality, to the weakest signal at -97 dBm. Moreover, an average difference of 6.9 dB was observed between indoor and outdoor testing for each frequency. Furthermore, analyzing the average signal strength based on distance showed that the highest strength of -56.2 dBm occurred at a distance of 1.5 km from the transmitter during outdoor testing. In comparison, the weakest strength of -91.6 dBm occurred at a distance of 1.8 km during indoor testing. Additionally, a signal strength comparison between test locations indicated that the most significant difference was between the Kamboja and Plaju locations. The LNA device achieved its highest gain value of 15.2 dB. Various factors, including antenna direction, obstructions such as buildings, antenna height, signal stability, and the distance between the transmitter and receiver, influence the signal quality.
GROUPING, DIFFERENTIATION, AND TECHNOLOGY Sri Fatmawati; Abdul Rakhman; Roni Hartono
Integrative Perspectives of Social and Science Journal Vol. 2 No. 06 November (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Abstract

Artikel ini membahas hubungan antara pengelompokan siswa, penerapan pembelajaran berdiferensiasi, serta pemanfaatan teknologi dalam konteks psikologi pendidikan modern. Perubahan paradigma pembelajaran menuntut guru memahami karakteristik individual peserta didik dan menyesuaikan strategi pembelajaran secara adaptif. Pengelompokan siswa bukan lagi didasarkan pada kemampuan tunggal seperti nilai akademik, tetapi pada potensi, gaya belajar, dan minat. Diferensiasi dipandang sebagai pendekatan untuk memenuhi kebutuhan belajar yang beragam. Selain itu, kemajuan teknologi pendidikan menjadi sarana penting dalam mendukung personalisasi pembelajaran. Kajian ini bertujuan untuk menjelaskan peran psikologi pendidikan dalam mendasari penerapan pengelompokan dan diferensiasi yang efektif dengan dukungan teknologi di era Kurikulum Merdeka.
STRATEGI KEPALA SEKOLAH UNTUK IMPLEMENTASI KURIKULUM MERDEKA BELAJAR DI SEKOLAH DASAR NEGERI KUNIL  KECAMATAN TARANO Abdul Rakhman
Integrative Perspectives of Social and Science Journal Vol. 2 No. 07 Desember (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Abstract

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis strategi kepala sekolah dalam mengimplementasikan Kurikulum Merdeka Belajar di Sekolah Dasar Negeri Kunil Kecamatan Tarano. Latar belakang penelitian ini didasarkan pada tuntutan perubahan paradigma pendidikan nasional yang menekankan pada pembelajaran yang berpusat pada peserta didik, fleksibilitas kurikulum, serta penguatan karakter melalui Profil Pelajar Pancasila. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan jenis penelitian deskriptif. Teknik pengumpulan data meliputi wawancara mendalam, observasi, dan studi dokumentasi. Subjek penelitian adalah kepala sekolah, guru, dan tenaga kependidikan. Hasil penelitian menunjukkan bahwa strategi kepala sekolah meliputi perencanaan program implementasi Kurikulum Merdeka, penguatan kapasitas guru melalui pelatihan dan komunitas belajar, pengelolaan sumber daya sekolah, serta supervisi akademik berkelanjutan. Faktor pendukung meliputi komitmen warga sekolah dan dukungan kebijakan pemerintah, sedangkan faktor penghambat antara lain keterbatasan sarana dan adaptasi guru terhadap perubahan. Kesimpulan penelitian menegaskan bahwa kepemimpinan kepala sekolah memiliki peran strategis dalam keberhasilan implementasi Kurikulum Merdeka Belajar.
SYSTEM DESIGN FOR EARLY DETECTION OF DIABETES MELLITUS USING IOT-BASED NON-INVASIVE SENSORS Widya, Afni Rara; Handayani, Ade Silvia; Rakhman, Abdul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6198

Abstract

This research aims to design a diabetes mellitus early detection tool using IoT-based non-invasive sensors. This tool uses blood pressure sensors and color sensors to detect glucose levels in urine. The data obtained from these sensors is sent to the Arduino Uno microcontroller, displayed on the LCD screen, and saved to the Firebase platform for further monitoring and analysis. The test results show that this tool is able to measure and display blood pressure data and urine glucose levels accurately and in real time so that it can be used as a practical and efficient diabetes mellitus diagnostic tool. This research makes a very important contribution to the development of IoT-based health technology, especially in facilitating early detection of diabetes non-invasively. This research aims to design a diabetes mellitus early detection tool using IoT-based non-invasive sensors. 
FINANCIAL DISCIPLINE: A SURVEY OF ENTREPRENEURS’ PERSPECTIVES IN SOUTH SULAWESI Abdul Rakhman
Journal of Economics, Business, and Accountancy Ventura Vol. 14 No. 2 (2011): August 2011
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v14i2.2

Abstract

This article emphasizes on exploring a variety way of South Sulawesi’s entrepreneurs to im- plement financial discipline in organizing their businesses appropriately. In addition, this research attempts to investigate factors which need to be considered by entrepreneurs to achieve financial discipline. It was conducted in South Sulawesi with 250 respondents. The data were collected and analyzed by using structured Equation Modeling. The participants’ responses indicate that most of entrepreneurs intent to practice financial management and consider financial commitment in their effort in order to achieve financial discipline. The findings show that capability of entrepreneurs and their individual characteristics have af- fected financial commitment and financial discipline but it does not affect intention to prac- tice financial management. The role of government only affects financial commitment signifi- cantly but it does not affect intention to practice financial management and financial disci- pline. Environment influences, significantly, the intention to practice financial management and financial commitment but it did not affected financial discipline. Furthermore, leader- ship affects, significantly, the financial commitment, intention to practice financial manage- ment and financial discipline. Last of all, financial commitment also affects intention to prac- tice financial management but it does not affect financial discipline, whereas intention to practice financial management affects financial discipline
DETERMINATION OF EXPORT VOLUME AND HEDGING STRATEGY: A SURVEY OF EXPORTER’S TRANSACTION AT THE MAKASSAR INDUSTRIAL ESTATE (KIMA) Abdul Rakhman
Journal of Economics, Business, and Accountancy Ventura Vol. 15 No. 3 (2012): December 2012
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v15i3.109

Abstract

The study aims to determine factors which influence the export volume of leading commodities in SouthSulawesi and investigate which hedging strategy has been implemented by the exporters. The survey wasundertaken for 13 managers arranging 250 sales contracts in thirteen companies. They were asked todescribe what type of hedging strategy was implemented in protecting their revenue with US dollar asdenominated currency to their contract. Several literatures suggested that hedging strategy needs to consistof hedging theory, but in South Sulawesi, the international traders’ belief is in pragmatism way byrelying on money market instrument especially for interest rate orientation. Although export import activitiesfor cocoa, cement, lobster, seaweed, box and marbles used US$ for denomination, the respondentswere aware of Rupiah fluctuation to foreign currency which also bears transaction exposure. Multipleregression analysis was used to determine variables which affected the volume and export, while hedgingstrategy was identified using qualitative approach. It was found that the increase on cost of hedging, inflationreferences and interest rate references affected significantly the increase of the export volume, whilethe increase of US$ spot rate to Indonesian Rupiah did not significantly affect in reducing export volume.Most of exporters rely on hedging in money market, long forward contract to protect their transactions.
PENGARUH PEMBERIAN JENIS FESES TERNAK BERBEDA TERHADAP PRODUKSI DAN NILAI GIZI RUMPUT BB BIOGEN Rakhman, Abdul; Amrullah, Amrullah; Budiman, Cecep; Yani, Ahmad; Hamdani, Asrul; Wahyu Satria, Edi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 Nomor 02, Juni 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.53236

Abstract

Biogen BB grass is a feed crop with good quality to meet the needs of ruminant livestock. This study aims to determine the effect of providing different types of livestock feces on the production and nutritional value of Biogen BB grass. The study was conducted from January to March 2026 using a Randomized Block Design (RBD) with four treatments and four groups. Data analysis was performed through analysis of production and nutritional value using a Randomized Block Design (RBD). The results showed that all research variables, such as production and nutritional value of Biogen BB grass, had the highest average values in the P0 treatment with urea fertilizer at a dose of 280 grams per bed, with average fresh weight values ranging from 5,730-14,297 kg/m2, dry weight 3,197-7,145 kg/m2, dry matter 2,595-6,012 kg/m2, ash 0.297-0.606 kg/m2, crude fat 0.032-0.067, crude fiber 0.784-2,007 kg/m2, and crude protein 0.154-0.314 kg/m2.
Co-Authors Ade Silvia Handayani Ahmad Taqwa ahmad yani Amrullah Amrullah Budiman, Cecep Chatarina Umbul Wahyuni Dzikrillah, Muhammad Endri, Jon Hamdani, Asrul Haris, Emin Irma Salamah Kurniasih, Wahyuni Leo Van Gunawan Lindawati Lindawati Meutia Deli Rachmawati Monika, Sinar Monika, Sinar Nurmalasari, Aprilliya Rafika, Mutia Rizky Tarmizi, Kgs.M.Dian Akbar Roni Hartono Soleh, M. Zikri SRI FATMAWATI Wahyu Satria, Edi Widya, Afni Rara Zakka, Iqlima Sabila